HEARTio backs AI bet that ECGs can forecast heart attacks
US-based healthtech startup HEARTio has raised $4.25 million in fresh funding to prove that a standard electrocardiogram (ECG) can do far more than confirm a heart attack after it happens. The company is building AI algorithms designed to detect subtle electrical patterns in the heart that signal elevated risk of a future cardiac event.
Using everyday ECGs as an early warning system
Today, ECGs are widely used in emergency rooms, ambulances and clinics to diagnose ongoing or recent heart attacks. HEARTio aims to repurpose this ubiquitous, low-cost test into a proactive screening tool by layering advanced machine learning on top of traditional readings.
According to the company, its software analyzes high‑resolution ECG data to identify micro‑abnormalities in heart rhythm and conduction that are often invisible to the human eye. These signals can be correlated with underlying coronary artery disease and future cardiac events, potentially flagging high‑risk patients earlier and more accurately than existing scoring tools.
Funding to fuel clinical validation and regulatory push
The new capital will be used to expand clinical trials, strengthen the startup’s regulatory dossier and integrate its technology into hospital and ambulance workflows. HEARTio is targeting classification as a medical device software platform, which requires robust evidence that its predictions improve outcomes without increasing false alarms.
Key priorities include validating performance across diverse patient populations, benchmarking against standard risk calculators, and ensuring that AI‑generated risk scores are explainable for cardiologists and emergency physicians. The company is also working on seamless integration with existing ECG machines and electronic health record systems so that clinicians can access risk insights within their normal workflow.
AI cardiology race intensifies
The funding round underscores a broader push to apply artificial intelligence to cardiovascular care, one of the world’s leading causes of death. While several research groups have demonstrated that AI‑enhanced ECGs can predict conditions such as heart failure or atrial fibrillation, commercial deployment at scale remains limited.
If HEARTio can show that its platform reliably predicts heart attacks and guides earlier interventions, it could help shift cardiology from reactive treatment to proactive prevention, using a test that is already standard in emergency medicine worldwide.